Software systems increasingly support communities of users who interact through the platform, elevating the importance and impact of research on integrity and privacy. How do we ensure that such communities remain safe and their data remains private?
To tackle these challenges, Facebook is undertaking research and development on a Web Enabled Simulation (WES) system called WW. WW is a multiagent simulation that trains agents (bots) using automated learning and optimization to simulate the social behavior of a range of good and bad actors. The simulation aims to automatically find and fix integrity and privacy issues.
In this call, we are particularly interested in research work that tackles these challenges and that could also lead to collaboration with our WW project. More details, including open research problems and challenges we hope to tackle in partnership with the scientific community, can be found in the keynote paper on the WES agenda and WW project.
To foster further innovation in this area, and to deepen our collaboration with academia, Facebook is pleased to invite faculty to respond to this call for research proposals pertaining to the topics below. We anticipate awarding 3–8 awards, each in the $50,000 range. Payment will be made to the proposer’s host university as an unrestricted gift.